10 часов назад
Data Analyst, Business Intelligence (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst, Business Intelligence (Fintech): Building and governing dashboards, metric libraries, and self-serve BI tools that turn Float's data infrastructure into business clarity with an accent on SQL, reporting quality, and cross-functional metric alignment. Focus on designing trustworthy BI environments, using AI to scale analysis and tooling, and translating leadership, Finance, RevOps, and GTM questions into durable data products.
Location: Hybrid in Toronto, Canada, with in-office days
Company
is a Canadian fintech company providing an intelligent financial operating system with corporate cards, expense management, bill payments, high-yield accounts, and financial operations software for Canadian businesses.
What you will do
- Design, build, maintain, and govern core dashboards, reporting infrastructure, and self-serve BI tools.
- Partner with the Analytics Engineer to translate business requirements into data models, write specifications, validate outputs, and align metric definitions.
- Define and maintain an authoritative metrics library with calculation rules, ownership, and discrepancy resolution across Finance and RevOps.
- Use AI to accelerate SQL drafting, documentation, analysis, self-serve tooling, and BI accessibility while applying appropriate guardrails.
- Support QBRs, board preparation, performance reporting, and exploratory analysis for the Chief of Staff, Head of Data, Finance, RevOps, GTM, and Sales.
- Identify data model gaps and quality issues, and help prioritize infrastructure improvements based on business impact.
Requirements
- 2–4+ years of experience as a BI or business analyst, ideally in a high-growth fintech or SaaS company.
- Strong SQL skills, including CTEs, window functions, and aggregations, with the ability to explain queries to non-technical stakeholders.
- Deep experience owning a BI environment in Metabase, Looker, Tableau, Sigma, or a similar tool.
- Ability to read dbt models, understand data lineage, and contribute to a dbt project.
- Experience using AI tools for SQL, documentation, or analysis, with sound judgment about their limitations and guardrails.
- Structured analytical thinking, strong written communication, curiosity about the business, and proactive collaboration.
Nice to have
- Experience supporting senior audiences.
- Familiarity with Snowflake or a similar cloud data warehouse.
- Python experience for automation or analysis outside SQL.
Culture & Benefits
- High-autonomy role at one of Canada's fastest-growing fintech companies.
- Competitive compensation, equity options, and benefits.
- High-trust, high-performance culture with an ambitious and collaborative team.
- Catered team lunches on Tuesdays, Wednesdays, and Thursdays.
- Dog-friendly Toronto office.
- Accessible hiring and workplace accommodations are available.
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